Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations1600
Missing cells1560
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory262.6 KiB
Average record size in memory168.1 B

Variable types

Numeric20
Categorical1

Alerts

Label is highly overall correlated with Sensor 9High correlation
Sensor 9 is highly overall correlated with LabelHigh correlation
Label has 1560 (97.5%) missing values Missing
Sensor 0 has unique values Unique
Sensor 1 has unique values Unique
Sensor 3 has unique values Unique
Sensor 4 has unique values Unique
Sensor 5 has unique values Unique
Sensor 6 has unique values Unique
Sensor 7 has unique values Unique
Sensor 8 has unique values Unique
Sensor 9 has unique values Unique
Sensor 10 has unique values Unique
Sensor 11 has unique values Unique
Sensor 12 has unique values Unique
Sensor 14 has unique values Unique
Sensor 15 has unique values Unique
Sensor 16 has unique values Unique
Sensor 17 has unique values Unique
Sensor 18 has unique values Unique
Sensor 19 has unique values Unique

Reproduction

Analysis started2024-11-19 10:23:10.093050
Analysis finished2024-11-19 10:23:31.936729
Duration21.84 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

Sensor 0
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0039014446
Minimum-0.99809824
Maximum0.99960955
Zeros0
Zeros (%)0.0%
Negative797
Negative (%)49.8%
Memory size12.6 KiB
2024-11-19T11:23:31.984265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99809824
5-th percentile-0.90294399
Q1-0.50775566
median0.0048088235
Q30.47658421
95-th percentile0.90307978
Maximum0.99960955
Range1.9977078
Interquartile range (IQR)0.98433987

Descriptive statistics

Standard deviation0.57832579
Coefficient of variation (CV)-148.23376
Kurtosis-1.197158
Mean-0.0039014446
Median Absolute Deviation (MAD)0.49615592
Skewness0.0098865869
Sum-6.2423113
Variance0.33446072
MonotonicityNot monotonic
2024-11-19T11:23:32.050453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5457852413 1
 
0.1%
-0.6076873545 1
 
0.1%
0.9810891261 1
 
0.1%
-0.8973006942 1
 
0.1%
-0.9354836815 1
 
0.1%
0.7762584534 1
 
0.1%
-0.4933517636 1
 
0.1%
-0.8375168908 1
 
0.1%
-0.1610566122 1
 
0.1%
-0.4997073804 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9980982439 1
0.1%
-0.9975031114 1
0.1%
-0.9973749936 1
0.1%
-0.9951671146 1
0.1%
-0.993786005 1
0.1%
-0.9925607262 1
0.1%
-0.9924129811 1
0.1%
-0.9911990803 1
0.1%
-0.9906192597 1
0.1%
-0.9854908356 1
0.1%
ValueCountFrequency (%)
0.9996095544 1
0.1%
0.998862971 1
0.1%
0.9986863615 1
0.1%
0.9969920354 1
0.1%
0.9956233008 1
0.1%
0.9955264722 1
0.1%
0.9946175094 1
0.1%
0.9923002284 1
0.1%
0.9918065539 1
0.1%
0.9910470276 1
0.1%

Sensor 1
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01069192
Minimum-0.99251767
Maximum0.99946346
Zeros0
Zeros (%)0.0%
Negative781
Negative (%)48.8%
Memory size12.6 KiB
2024-11-19T11:23:32.121236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99251767
5-th percentile-0.90268908
Q1-0.48859633
median0.017734841
Q30.51371533
95-th percentile0.90855787
Maximum0.99946346
Range1.9919811
Interquartile range (IQR)1.0023117

Descriptive statistics

Standard deviation0.58078372
Coefficient of variation (CV)54.319871
Kurtosis-1.2155761
Mean0.01069192
Median Absolute Deviation (MAD)0.49925555
Skewness-0.018125855
Sum17.107072
Variance0.33730974
MonotonicityNot monotonic
2024-11-19T11:23:32.186164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6399642037 1
 
0.1%
0.105356978 1
 
0.1%
0.06090176965 1
 
0.1%
-0.9084571848 1
 
0.1%
0.4281632149 1
 
0.1%
-0.07002952033 1
 
0.1%
0.1303008185 1
 
0.1%
0.7415964688 1
 
0.1%
0.005997624561 1
 
0.1%
-0.4687453367 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9925176659 1
0.1%
-0.9923540966 1
0.1%
-0.9916131094 1
0.1%
-0.9915940646 1
0.1%
-0.9911478404 1
0.1%
-0.9869302908 1
0.1%
-0.9859874682 1
0.1%
-0.9840123198 1
0.1%
-0.983845894 1
0.1%
-0.983423148 1
0.1%
ValueCountFrequency (%)
0.9994634564 1
0.1%
0.9990845001 1
0.1%
0.9976522959 1
0.1%
0.9971029227 1
0.1%
0.9946928744 1
0.1%
0.9935299337 1
0.1%
0.9929011168 1
0.1%
0.9904492366 1
0.1%
0.9902327342 1
0.1%
0.9890720078 1
0.1%

Sensor 2
Real number (ℝ)

Distinct1553
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0036106766
Minimum-0.8
Maximum0.8
Zeros0
Zeros (%)0.0%
Negative800
Negative (%)50.0%
Memory size12.6 KiB
2024-11-19T11:23:32.246056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.8
5-th percentile-0.6472136
Q1-0.25996941
median0.00051626142
Q30.27099034
95-th percentile0.6472136
Maximum0.8
Range1.6
Interquartile range (IQR)0.53095975

Descriptive statistics

Standard deviation0.35963244
Coefficient of variation (CV)99.602508
Kurtosis-0.34453837
Mean0.0036106766
Median Absolute Deviation (MAD)0.26447254
Skewness-0.023084574
Sum5.7770825
Variance0.12933549
MonotonicityNot monotonic
2024-11-19T11:23:32.311398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7936917611 2
 
0.1%
-0.7936917611 2
 
0.1%
-0.7716459348 2
 
0.1%
0.5476376847 2
 
0.1%
-0.2472135955 2
 
0.1%
-0.7996052483 2
 
0.1%
-0.797533867 2
 
0.1%
-0.7748665289 2
 
0.1%
-0.7682349485 2
 
0.1%
-0.02512860726 2
 
0.1%
Other values (1543) 1580
98.8%
ValueCountFrequency (%)
-0.8 1
0.1%
-0.799901306 2
0.1%
-0.7996052483 2
0.1%
-0.7991119 2
0.1%
-0.7984213827 2
0.1%
-0.797533867 2
0.1%
-0.7964495717 2
0.1%
-0.7951687644 2
0.1%
-0.7936917611 2
0.1%
-0.7920189262 1
0.1%
ValueCountFrequency (%)
0.8 1
0.1%
0.799901306 2
0.1%
0.7996052483 2
0.1%
0.7991119 2
0.1%
0.7984213827 2
0.1%
0.797533867 2
0.1%
0.7964495717 2
0.1%
0.7951687644 2
0.1%
0.7936917611 2
0.1%
0.7920189262 1
0.1%

Sensor 3
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.016912566
Minimum-0.99977511
Maximum0.99973254
Zeros0
Zeros (%)0.0%
Negative764
Negative (%)47.8%
Memory size12.6 KiB
2024-11-19T11:23:32.376109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99977511
5-th percentile-0.91602361
Q1-0.50415142
median0.051528
Q30.51276222
95-th percentile0.91585249
Maximum0.99973254
Range1.9995076
Interquartile range (IQR)1.0169136

Descriptive statistics

Standard deviation0.58357095
Coefficient of variation (CV)34.50517
Kurtosis-1.1967914
Mean0.016912566
Median Absolute Deviation (MAD)0.49753825
Skewness-0.080554618
Sum27.060105
Variance0.34055505
MonotonicityNot monotonic
2024-11-19T11:23:32.439596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8700559656 1
 
0.1%
-0.5442141464 1
 
0.1%
-0.04888564315 1
 
0.1%
-0.8860586302 1
 
0.1%
0.8399241076 1
 
0.1%
-0.7720584046 1
 
0.1%
0.5346665522 1
 
0.1%
0.4219456612 1
 
0.1%
0.8527547813 1
 
0.1%
-0.2244301236 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9997751062 1
0.1%
-0.9992076813 1
0.1%
-0.9988146073 1
0.1%
-0.9974012182 1
0.1%
-0.9966876753 1
0.1%
-0.9956922132 1
0.1%
-0.9953826729 1
0.1%
-0.9947746011 1
0.1%
-0.9936142472 1
0.1%
-0.991585252 1
0.1%
ValueCountFrequency (%)
0.9997325424 1
0.1%
0.9985605323 1
0.1%
0.9966398143 1
0.1%
0.9959673816 1
0.1%
0.9955695526 1
0.1%
0.9919896121 1
0.1%
0.9901376392 1
0.1%
0.9885981018 1
0.1%
0.9851795986 1
0.1%
0.9848454121 1
0.1%

Sensor 4
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0065041981
Minimum-0.99986979
Maximum0.99291982
Zeros0
Zeros (%)0.0%
Negative799
Negative (%)49.9%
Memory size12.6 KiB
2024-11-19T11:23:32.500865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99986979
5-th percentile-0.89498115
Q1-0.48548971
median0.00081101272
Q30.49587961
95-th percentile0.89866357
Maximum0.99291982
Range1.9927896
Interquartile range (IQR)0.98136932

Descriptive statistics

Standard deviation0.57084079
Coefficient of variation (CV)87.764975
Kurtosis-1.1623256
Mean0.0065041981
Median Absolute Deviation (MAD)0.49088983
Skewness-0.0066959646
Sum10.406717
Variance0.3258592
MonotonicityNot monotonic
2024-11-19T11:23:32.563074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5896341189 1
 
0.1%
0.3738350276 1
 
0.1%
0.5376015804 1
 
0.1%
0.260806778 1
 
0.1%
0.3044359968 1
 
0.1%
-0.3372603244 1
 
0.1%
0.6099851791 1
 
0.1%
0.2338014815 1
 
0.1%
-0.6956627117 1
 
0.1%
0.4557633832 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9998697907 1
0.1%
-0.9989560867 1
0.1%
-0.9985540495 1
0.1%
-0.9962049045 1
0.1%
-0.9949246026 1
0.1%
-0.9947858226 1
0.1%
-0.9941468144 1
0.1%
-0.9941410718 1
0.1%
-0.993789073 1
0.1%
-0.9934620733 1
0.1%
ValueCountFrequency (%)
0.9929198157 1
0.1%
0.9924957946 1
0.1%
0.9912058038 1
0.1%
0.9905637183 1
0.1%
0.9900355499 1
0.1%
0.988932129 1
0.1%
0.9885536731 1
0.1%
0.9870686685 1
0.1%
0.9865964311 1
0.1%
0.9865453977 1
0.1%

Sensor 5
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.035331712
Minimum-0.99966931
Maximum0.99697212
Zeros0
Zeros (%)0.0%
Negative851
Negative (%)53.2%
Memory size12.6 KiB
2024-11-19T11:23:32.626807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99966931
5-th percentile-0.9207782
Q1-0.57611564
median-0.051874622
Q30.48103597
95-th percentile0.89903856
Maximum0.99697212
Range1.9966414
Interquartile range (IQR)1.0571516

Descriptive statistics

Standard deviation0.59360656
Coefficient of variation (CV)-16.800957
Kurtosis-1.2477445
Mean-0.035331712
Median Absolute Deviation (MAD)0.5279469
Skewness0.069297115
Sum-56.530739
Variance0.35236875
MonotonicityNot monotonic
2024-11-19T11:23:32.690597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6545156632 1
 
0.1%
0.7386313961 1
 
0.1%
-0.6742531854 1
 
0.1%
-0.3456591452 1
 
0.1%
-0.2293606219 1
 
0.1%
0.9533090713 1
 
0.1%
-0.397905887 1
 
0.1%
-0.7911837938 1
 
0.1%
-0.3671950558 1
 
0.1%
-0.5018202049 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9996693103 1
0.1%
-0.9986334889 1
0.1%
-0.997986055 1
0.1%
-0.9972744166 1
0.1%
-0.9970814803 1
0.1%
-0.9963022135 1
0.1%
-0.9962516033 1
0.1%
-0.9951013909 1
0.1%
-0.9931565262 1
0.1%
-0.9925504858 1
0.1%
ValueCountFrequency (%)
0.9969721169 1
0.1%
0.9957990862 1
0.1%
0.9933017657 1
0.1%
0.9917779166 1
0.1%
0.9914642362 1
0.1%
0.9906439513 1
0.1%
0.9892726956 1
0.1%
0.9887817039 1
0.1%
0.9849016328 1
0.1%
0.9839055394 1
0.1%

Sensor 6
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0026066607
Minimum-0.99694941
Maximum0.99936925
Zeros0
Zeros (%)0.0%
Negative791
Negative (%)49.4%
Memory size12.6 KiB
2024-11-19T11:23:32.753873image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99694941
5-th percentile-0.89415719
Q1-0.49336744
median0.015699639
Q30.4844186
95-th percentile0.88748893
Maximum0.99936925
Range1.9963187
Interquartile range (IQR)0.97778605

Descriptive statistics

Standard deviation0.57252316
Coefficient of variation (CV)219.63855
Kurtosis-1.1763198
Mean0.0026066607
Median Absolute Deviation (MAD)0.48454474
Skewness-0.016874982
Sum4.170657
Variance0.32778276
MonotonicityNot monotonic
2024-11-19T11:23:32.817390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7586259613 1
 
0.1%
-0.2660959146 1
 
0.1%
-0.02531206261 1
 
0.1%
0.8863202956 1
 
0.1%
-0.2340525529 1
 
0.1%
-0.1528010486 1
 
0.1%
0.1240350766 1
 
0.1%
-0.465107531 1
 
0.1%
0.7997392665 1
 
0.1%
-0.1534589259 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.996949411 1
0.1%
-0.9966240999 1
0.1%
-0.9961986985 1
0.1%
-0.994738818 1
0.1%
-0.9936530309 1
0.1%
-0.9932097787 1
0.1%
-0.9921275543 1
0.1%
-0.9911474771 1
0.1%
-0.9902870497 1
0.1%
-0.9896580104 1
0.1%
ValueCountFrequency (%)
0.9993692485 1
0.1%
0.9993573549 1
0.1%
0.9986670167 1
0.1%
0.9953577031 1
0.1%
0.9950278146 1
0.1%
0.9945878128 1
0.1%
0.9935300782 1
0.1%
0.9927231579 1
0.1%
0.9924411915 1
0.1%
0.9909935782 1
0.1%

Sensor 7
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.023096174
Minimum-0.99876122
Maximum0.99937591
Zeros0
Zeros (%)0.0%
Negative846
Negative (%)52.9%
Memory size12.6 KiB
2024-11-19T11:23:32.884102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99876122
5-th percentile-0.91407467
Q1-0.53102856
median-0.043717405
Q30.49027073
95-th percentile0.89875657
Maximum0.99937591
Range1.9981371
Interquartile range (IQR)1.0212993

Descriptive statistics

Standard deviation0.58861447
Coefficient of variation (CV)-25.485367
Kurtosis-1.2231926
Mean-0.023096174
Median Absolute Deviation (MAD)0.50968779
Skewness0.068012204
Sum-36.953878
Variance0.346467
MonotonicityNot monotonic
2024-11-19T11:23:32.952068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9442263563 1
 
0.1%
-0.4184342595 1
 
0.1%
0.4153126002 1
 
0.1%
-0.8361690636 1
 
0.1%
-0.329942057 1
 
0.1%
-0.9039424675 1
 
0.1%
-0.7021261849 1
 
0.1%
-0.2449092962 1
 
0.1%
0.5949134781 1
 
0.1%
-0.1829491327 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9987612152 1
0.1%
-0.9983586231 1
0.1%
-0.9972131439 1
0.1%
-0.9963681283 1
0.1%
-0.9962234266 1
0.1%
-0.9953117075 1
0.1%
-0.9936027398 1
0.1%
-0.9914259945 1
0.1%
-0.9905397312 1
0.1%
-0.9890310484 1
0.1%
ValueCountFrequency (%)
0.99937591 1
0.1%
0.9958266467 1
0.1%
0.9950768507 1
0.1%
0.9931212857 1
0.1%
0.9929380467 1
0.1%
0.991255899 1
0.1%
0.9910261698 1
0.1%
0.990871272 1
0.1%
0.9905819079 1
0.1%
0.9902843218 1
0.1%

Sensor 8
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014207356
Minimum-0.99804386
Maximum0.99914262
Zeros0
Zeros (%)0.0%
Negative797
Negative (%)49.8%
Memory size12.6 KiB
2024-11-19T11:23:33.019298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99804386
5-th percentile-0.88100903
Q1-0.47325299
median0.0048691559
Q30.50375141
95-th percentile0.9099241
Maximum0.99914262
Range1.9971865
Interquartile range (IQR)0.9770044

Descriptive statistics

Standard deviation0.57992762
Coefficient of variation (CV)40.818826
Kurtosis-1.2207223
Mean0.014207356
Median Absolute Deviation (MAD)0.49197985
Skewness-0.0032902259
Sum22.73177
Variance0.33631604
MonotonicityNot monotonic
2024-11-19T11:23:33.083998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3619813265 1
 
0.1%
0.6440172942 1
 
0.1%
-0.7504904243 1
 
0.1%
0.8443142736 1
 
0.1%
0.4512895183 1
 
0.1%
-0.5482883479 1
 
0.1%
-0.8975160988 1
 
0.1%
-0.2735072387 1
 
0.1%
0.4924555239 1
 
0.1%
-0.9344526286 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9980438553 1
0.1%
-0.9969237331 1
0.1%
-0.9932037699 1
0.1%
-0.993203696 1
0.1%
-0.9931224213 1
0.1%
-0.9914053429 1
0.1%
-0.9899399207 1
0.1%
-0.9890476759 1
0.1%
-0.9888872805 1
0.1%
-0.9877122902 1
0.1%
ValueCountFrequency (%)
0.9991426195 1
0.1%
0.9970727432 1
0.1%
0.9968085629 1
0.1%
0.9963072629 1
0.1%
0.9957569883 1
0.1%
0.9953060805 1
0.1%
0.995304132 1
0.1%
0.9951792363 1
0.1%
0.991275246 1
0.1%
0.9890482293 1
0.1%

Sensor 9
Real number (ℝ)

High correlation  Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0012011248
Minimum-0.99952282
Maximum0.99961817
Zeros0
Zeros (%)0.0%
Negative786
Negative (%)49.1%
Memory size12.6 KiB
2024-11-19T11:23:33.147991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99952282
5-th percentile-0.87431941
Q1-0.55943874
median0.034201679
Q30.54763477
95-th percentile0.87808832
Maximum0.99961817
Range1.999141
Interquartile range (IQR)1.1070735

Descriptive statistics

Standard deviation0.60269119
Coefficient of variation (CV)501.77232
Kurtosis-1.4398192
Mean0.0012011248
Median Absolute Deviation (MAD)0.55736647
Skewness-0.014743556
Sum1.9217997
Variance0.36323667
MonotonicityNot monotonic
2024-11-19T11:23:33.212618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7389579536 1
 
0.1%
-0.7857714562 1
 
0.1%
0.6908253279 1
 
0.1%
0.5496114833 1
 
0.1%
-0.402848653 1
 
0.1%
-0.3972086364 1
 
0.1%
-0.8432344257 1
 
0.1%
-0.5987834628 1
 
0.1%
-0.7115898129 1
 
0.1%
-0.425775564 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9995228236 1
0.1%
-0.9990067729 1
0.1%
-0.9936467735 1
0.1%
-0.9913386285 1
0.1%
-0.9903559133 1
0.1%
-0.9885769434 1
0.1%
-0.988235187 1
0.1%
-0.9809116751 1
0.1%
-0.979254726 1
0.1%
-0.9758366829 1
0.1%
ValueCountFrequency (%)
0.9996181731 1
0.1%
0.9968359432 1
0.1%
0.9912064572 1
0.1%
0.9911641822 1
0.1%
0.9892547004 1
0.1%
0.9878938015 1
0.1%
0.9877752025 1
0.1%
0.9849100732 1
0.1%
0.9801168515 1
0.1%
0.9792108849 1
0.1%

Sensor 10
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0081006522
Minimum-0.99897458
Maximum0.99991756
Zeros0
Zeros (%)0.0%
Negative823
Negative (%)51.4%
Memory size12.6 KiB
2024-11-19T11:23:33.278215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99897458
5-th percentile-0.89513993
Q1-0.50493271
median-0.024177465
Q30.50149536
95-th percentile0.91017857
Maximum0.99991756
Range1.9988921
Interquartile range (IQR)1.0064281

Descriptive statistics

Standard deviation0.57758737
Coefficient of variation (CV)-71.301341
Kurtosis-1.180823
Mean-0.0081006522
Median Absolute Deviation (MAD)0.50493376
Skewness0.047875539
Sum-12.961044
Variance0.33360717
MonotonicityNot monotonic
2024-11-19T11:23:33.344636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.08204482879 1
 
0.1%
-0.950406421 1
 
0.1%
0.5565822027 1
 
0.1%
-0.4356372017 1
 
0.1%
-0.3206517289 1
 
0.1%
0.8965917213 1
 
0.1%
0.5264928647 1
 
0.1%
-0.6534503664 1
 
0.1%
-0.2063510008 1
 
0.1%
-0.06720279326 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9989745805 1
0.1%
-0.9958944286 1
0.1%
-0.995539606 1
0.1%
-0.9927405631 1
0.1%
-0.9913829571 1
0.1%
-0.9911973829 1
0.1%
-0.9883697286 1
0.1%
-0.9882225317 1
0.1%
-0.9878047185 1
0.1%
-0.9869191277 1
0.1%
ValueCountFrequency (%)
0.9999175628 1
0.1%
0.9997739497 1
0.1%
0.998467621 1
0.1%
0.9971968412 1
0.1%
0.9951946604 1
0.1%
0.9944384922 1
0.1%
0.9937276056 1
0.1%
0.9932695935 1
0.1%
0.9929754662 1
0.1%
0.9913747102 1
0.1%

Sensor 11
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00010693072
Minimum-0.99933025
Maximum0.99578441
Zeros0
Zeros (%)0.0%
Negative790
Negative (%)49.4%
Memory size12.6 KiB
2024-11-19T11:23:33.408854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99933025
5-th percentile-0.90871306
Q1-0.51455258
median0.0097760991
Q30.51663815
95-th percentile0.9041419
Maximum0.99578441
Range1.9951147
Interquartile range (IQR)1.0311907

Descriptive statistics

Standard deviation0.5848021
Coefficient of variation (CV)-5468.9809
Kurtosis-1.220433
Mean-0.00010693072
Median Absolute Deviation (MAD)0.51904665
Skewness-0.00046691269
Sum-0.17108916
Variance0.34199349
MonotonicityNot monotonic
2024-11-19T11:23:33.472046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3670256607 1
 
0.1%
-0.9892348384 1
 
0.1%
-0.8154215077 1
 
0.1%
-0.2436858718 1
 
0.1%
-0.7885288658 1
 
0.1%
-0.8178464594 1
 
0.1%
0.005382968468 1
 
0.1%
0.2297771529 1
 
0.1%
0.1413832629 1
 
0.1%
0.8411724444 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9993302464 1
0.1%
-0.9990490266 1
0.1%
-0.9986795745 1
0.1%
-0.9980275316 1
0.1%
-0.9946111467 1
0.1%
-0.9928521063 1
0.1%
-0.9918072915 1
0.1%
-0.9892348384 1
0.1%
-0.9887708232 1
0.1%
-0.9885670281 1
0.1%
ValueCountFrequency (%)
0.9957844051 1
0.1%
0.9943900689 1
0.1%
0.9911531737 1
0.1%
0.9894883211 1
0.1%
0.9893220098 1
0.1%
0.9880241157 1
0.1%
0.9872424956 1
0.1%
0.9861458593 1
0.1%
0.98477286 1
0.1%
0.9845819136 1
0.1%

Sensor 12
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0060535505
Minimum-0.99622077
Maximum0.99864249
Zeros0
Zeros (%)0.0%
Negative785
Negative (%)49.1%
Memory size12.6 KiB
2024-11-19T11:23:33.534309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99622077
5-th percentile-0.88833246
Q1-0.52418982
median0.024857902
Q30.50359352
95-th percentile0.8873864
Maximum0.99864249
Range1.9948633
Interquartile range (IQR)1.0277833

Descriptive statistics

Standard deviation0.57789189
Coefficient of variation (CV)95.463297
Kurtosis-1.243905
Mean0.0060535505
Median Absolute Deviation (MAD)0.50861529
Skewness-0.036951609
Sum9.6856808
Variance0.33395904
MonotonicityNot monotonic
2024-11-19T11:23:33.597061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.684775507 1
 
0.1%
-0.3254149529 1
 
0.1%
-0.08005225526 1
 
0.1%
-0.8806328506 1
 
0.1%
-0.9599411725 1
 
0.1%
0.9804843598 1
 
0.1%
-0.04728122703 1
 
0.1%
0.3535404745 1
 
0.1%
0.4791896503 1
 
0.1%
-0.4076948117 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9962207665 1
0.1%
-0.9951371827 1
0.1%
-0.995082157 1
0.1%
-0.9933815253 1
0.1%
-0.9921267242 1
0.1%
-0.9872913008 1
0.1%
-0.986619658 1
0.1%
-0.9854484967 1
0.1%
-0.9826327048 1
0.1%
-0.9792741093 1
0.1%
ValueCountFrequency (%)
0.9986424898 1
0.1%
0.9944602127 1
0.1%
0.9930778517 1
0.1%
0.9922979259 1
0.1%
0.9921260439 1
0.1%
0.9903372562 1
0.1%
0.9877339556 1
0.1%
0.9867611939 1
0.1%
0.9864317673 1
0.1%
0.9836320371 1
0.1%

Sensor 13
Real number (ℝ)

Distinct1539
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0037765466
Minimum-0.8
Maximum0.8
Zeros1
Zeros (%)0.1%
Negative808
Negative (%)50.5%
Memory size12.6 KiB
2024-11-19T11:23:33.662219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.8
5-th percentile-0.6472136
Q1-0.26527615
median-0.0058931941
Q30.25913393
95-th percentile0.6472136
Maximum0.8
Range1.6
Interquartile range (IQR)0.52441009

Descriptive statistics

Standard deviation0.3597878
Coefficient of variation (CV)-95.268994
Kurtosis-0.34757727
Mean-0.0037765466
Median Absolute Deviation (MAD)0.26326499
Skewness0.025488069
Sum-6.0424745
Variance0.12944726
MonotonicityNot monotonic
2024-11-19T11:23:33.728029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4803361803 2
 
0.1%
0.5290494923 2
 
0.1%
0.428661436 2
 
0.1%
0.7833782485 2
 
0.1%
-0.7984213827 2
 
0.1%
0.797533867 2
 
0.1%
0.7568682871 2
 
0.1%
-0.5831749019 2
 
0.1%
-0.799901306 2
 
0.1%
0.7920189262 2
 
0.1%
Other values (1529) 1580
98.8%
ValueCountFrequency (%)
-0.8 1
0.1%
-0.799901306 2
0.1%
-0.7996052483 2
0.1%
-0.7991119 1
0.1%
-0.7991119 1
0.1%
-0.7984213827 2
0.1%
-0.797533867 2
0.1%
-0.7964495717 2
0.1%
-0.7951687644 2
0.1%
-0.7936917611 2
0.1%
ValueCountFrequency (%)
0.8 1
0.1%
0.799901306 2
0.1%
0.7996052483 2
0.1%
0.7991119 2
0.1%
0.7984213827 2
0.1%
0.797533867 2
0.1%
0.7964495717 2
0.1%
0.7951687644 2
0.1%
0.7936917611 1
0.1%
0.7936917611 1
0.1%

Sensor 14
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0035832125
Minimum-0.99890764
Maximum0.99870034
Zeros0
Zeros (%)0.0%
Negative786
Negative (%)49.1%
Memory size12.6 KiB
2024-11-19T11:23:33.796067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99890764
5-th percentile-0.89389683
Q1-0.51063843
median0.031813757
Q30.52216638
95-th percentile0.89684789
Maximum0.99870034
Range1.997608
Interquartile range (IQR)1.0328048

Descriptive statistics

Standard deviation0.58429331
Coefficient of variation (CV)163.0641
Kurtosis-1.2501853
Mean0.0035832125
Median Absolute Deviation (MAD)0.51532915
Skewness-0.028690472
Sum5.73314
Variance0.34139868
MonotonicityNot monotonic
2024-11-19T11:23:33.864483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7970512884 1
 
0.1%
0.9711031486 1
 
0.1%
-0.1249460737 1
 
0.1%
0.4137612013 1
 
0.1%
-0.08701345095 1
 
0.1%
-0.01922807648 1
 
0.1%
0.1138675218 1
 
0.1%
0.5920909705 1
 
0.1%
0.314480363 1
 
0.1%
0.8639917202 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9989076358 1
0.1%
-0.9983749939 1
0.1%
-0.996819428 1
0.1%
-0.995303217 1
0.1%
-0.9925223819 1
0.1%
-0.9920627594 1
0.1%
-0.9903118628 1
0.1%
-0.9902036356 1
0.1%
-0.9897386198 1
0.1%
-0.9894366599 1
0.1%
ValueCountFrequency (%)
0.9987003413 1
0.1%
0.9978660349 1
0.1%
0.9974885032 1
0.1%
0.9967191788 1
0.1%
0.9960505961 1
0.1%
0.9924485711 1
0.1%
0.9918398788 1
0.1%
0.9881046804 1
0.1%
0.9872492428 1
0.1%
0.9832055782 1
0.1%

Sensor 15
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0092197214
Minimum-0.99852578
Maximum0.9970598
Zeros0
Zeros (%)0.0%
Negative792
Negative (%)49.5%
Memory size12.6 KiB
2024-11-19T11:23:33.931922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99852578
5-th percentile-0.89882861
Q1-0.48848216
median0.0065010967
Q30.53069982
95-th percentile0.90662834
Maximum0.9970598
Range1.9955856
Interquartile range (IQR)1.019182

Descriptive statistics

Standard deviation0.58211569
Coefficient of variation (CV)63.1381
Kurtosis-1.2148804
Mean0.0092197214
Median Absolute Deviation (MAD)0.51542998
Skewness-0.022359856
Sum14.751554
Variance0.33885868
MonotonicityNot monotonic
2024-11-19T11:23:34.221651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8499368717 1
 
0.1%
0.2056485202 1
 
0.1%
-0.6056670998 1
 
0.1%
0.4598805671 1
 
0.1%
-0.8150276469 1
 
0.1%
0.6193711377 1
 
0.1%
-0.9107331007 1
 
0.1%
0.5395826107 1
 
0.1%
-0.3336322871 1
 
0.1%
0.5437670712 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.998525775 1
0.1%
-0.9984262099 1
0.1%
-0.9970484876 1
0.1%
-0.9965177393 1
0.1%
-0.9962656303 1
0.1%
-0.9959198916 1
0.1%
-0.9942817394 1
0.1%
-0.9929009472 1
0.1%
-0.9923601931 1
0.1%
-0.992103529 1
0.1%
ValueCountFrequency (%)
0.997059804 1
0.1%
0.9963117088 1
0.1%
0.995927293 1
0.1%
0.9951436579 1
0.1%
0.9950530416 1
0.1%
0.9947868248 1
0.1%
0.9942935902 1
0.1%
0.9922337809 1
0.1%
0.9920061924 1
0.1%
0.9914603141 1
0.1%

Sensor 16
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02679744
Minimum-0.99940787
Maximum0.99577992
Zeros0
Zeros (%)0.0%
Negative765
Negative (%)47.8%
Memory size12.6 KiB
2024-11-19T11:23:34.283863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99940787
5-th percentile-0.87712669
Q1-0.45710603
median0.038331161
Q30.51361538
95-th percentile0.91183206
Maximum0.99577992
Range1.9951878
Interquartile range (IQR)0.97072141

Descriptive statistics

Standard deviation0.56959792
Coefficient of variation (CV)21.255684
Kurtosis-1.1697706
Mean0.02679744
Median Absolute Deviation (MAD)0.48553953
Skewness-0.040490528
Sum42.875904
Variance0.32444179
MonotonicityNot monotonic
2024-11-19T11:23:34.347690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1096506605 1
 
0.1%
0.9381376573 1
 
0.1%
-0.7248731607 1
 
0.1%
0.4915761993 1
 
0.1%
0.4864733429 1
 
0.1%
-0.9155803927 1
 
0.1%
0.2715892853 1
 
0.1%
-0.165333663 1
 
0.1%
-0.6875088424 1
 
0.1%
0.3528419984 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9994078657 1
0.1%
-0.9982330577 1
0.1%
-0.9964254544 1
0.1%
-0.9948955658 1
0.1%
-0.9926749149 1
0.1%
-0.9912383611 1
0.1%
-0.9870020908 1
0.1%
-0.9835357878 1
0.1%
-0.9826027818 1
0.1%
-0.9820116376 1
0.1%
ValueCountFrequency (%)
0.9957799197 1
0.1%
0.995281627 1
0.1%
0.9946686326 1
0.1%
0.9922191007 1
0.1%
0.9919730379 1
0.1%
0.9916476538 1
0.1%
0.9906862819 1
0.1%
0.9882055368 1
0.1%
0.9873975702 1
0.1%
0.9870462661 1
0.1%

Sensor 17
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.018739933
Minimum-0.99821311
Maximum0.99977227
Zeros0
Zeros (%)0.0%
Negative793
Negative (%)49.6%
Memory size12.6 KiB
2024-11-19T11:23:34.411760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99821311
5-th percentile-0.87374566
Q1-0.50559131
median0.0090601355
Q30.53761914
95-th percentile0.9066441
Maximum0.99977227
Range1.9979854
Interquartile range (IQR)1.0432104

Descriptive statistics

Standard deviation0.57855517
Coefficient of variation (CV)30.872852
Kurtosis-1.2343051
Mean0.018739933
Median Absolute Deviation (MAD)0.52143664
Skewness0.011858709
Sum29.983892
Variance0.33472609
MonotonicityNot monotonic
2024-11-19T11:23:34.478149image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2754277874 1
 
0.1%
0.451316014 1
 
0.1%
0.5599502351 1
 
0.1%
-0.6112622564 1
 
0.1%
0.29684973 1
 
0.1%
0.2514328129 1
 
0.1%
-0.9914582511 1
 
0.1%
0.1709351255 1
 
0.1%
0.840261298 1
 
0.1%
-0.5198328591 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9982131083 1
0.1%
-0.9976282802 1
0.1%
-0.9962792147 1
0.1%
-0.9943820865 1
0.1%
-0.9942732573 1
0.1%
-0.9942078142 1
0.1%
-0.9914582511 1
0.1%
-0.9869781269 1
0.1%
-0.986893492 1
0.1%
-0.9861529978 1
0.1%
ValueCountFrequency (%)
0.9997722707 1
0.1%
0.9995538858 1
0.1%
0.9980241926 1
0.1%
0.9951255065 1
0.1%
0.9932707586 1
0.1%
0.9914692097 1
0.1%
0.9911766906 1
0.1%
0.9897200374 1
0.1%
0.9879839723 1
0.1%
0.9872312128 1
0.1%

Sensor 18
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.018144275
Minimum-0.99988023
Maximum0.9991918
Zeros0
Zeros (%)0.0%
Negative779
Negative (%)48.7%
Memory size12.6 KiB
2024-11-19T11:23:34.541014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99988023
5-th percentile-0.91295215
Q1-0.47840584
median0.032383275
Q30.54322365
95-th percentile0.90333849
Maximum0.9991918
Range1.999072
Interquartile range (IQR)1.0216295

Descriptive statistics

Standard deviation0.58330899
Coefficient of variation (CV)32.148377
Kurtosis-1.2131676
Mean0.018144275
Median Absolute Deviation (MAD)0.51084042
Skewness-0.036755496
Sum29.03084
Variance0.34024938
MonotonicityNot monotonic
2024-11-19T11:23:34.604170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.724550561 1
 
0.1%
0.1259901213 1
 
0.1%
0.5476197166 1
 
0.1%
-0.6903372687 1
 
0.1%
0.6740006623 1
 
0.1%
-0.4742817739 1
 
0.1%
0.8649032964 1
 
0.1%
-0.524210109 1
 
0.1%
-0.9272268019 1
 
0.1%
0.4084165575 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9998802338 1
0.1%
-0.9994112268 1
0.1%
-0.9986482817 1
0.1%
-0.9982609004 1
0.1%
-0.9979839736 1
0.1%
-0.9976441571 1
0.1%
-0.9968315151 1
0.1%
-0.9946901685 1
0.1%
-0.9933984132 1
0.1%
-0.9929060766 1
0.1%
ValueCountFrequency (%)
0.9991918034 1
0.1%
0.9979166096 1
0.1%
0.9948305148 1
0.1%
0.9924280438 1
0.1%
0.9912635611 1
0.1%
0.9896229111 1
0.1%
0.9881169142 1
0.1%
0.9877170532 1
0.1%
0.9873111507 1
0.1%
0.9868863517 1
0.1%

Sensor 19
Real number (ℝ)

Unique 

Distinct1600
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.010667828
Minimum-0.99855933
Maximum0.9999671
Zeros0
Zeros (%)0.0%
Negative786
Negative (%)49.1%
Memory size12.6 KiB
2024-11-19T11:23:34.666560image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99855933
5-th percentile-0.90236497
Q1-0.47095256
median0.020862031
Q30.51008529
95-th percentile0.9005631
Maximum0.9999671
Range1.9985264
Interquartile range (IQR)0.98103785

Descriptive statistics

Standard deviation0.5762191
Coefficient of variation (CV)54.014659
Kurtosis-1.1810228
Mean0.010667828
Median Absolute Deviation (MAD)0.48970194
Skewness-0.04610951
Sum17.068525
Variance0.33202845
MonotonicityNot monotonic
2024-11-19T11:23:34.730025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9574378776 1
 
0.1%
0.8222140574 1
 
0.1%
0.4789814123 1
 
0.1%
0.1564671537 1
 
0.1%
0.6479669504 1
 
0.1%
0.5376333665 1
 
0.1%
-0.643546567 1
 
0.1%
-0.3536363535 1
 
0.1%
-0.8856334382 1
 
0.1%
-0.8388815923 1
 
0.1%
Other values (1590) 1590
99.4%
ValueCountFrequency (%)
-0.9985593298 1
0.1%
-0.9976245814 1
0.1%
-0.9967395489 1
0.1%
-0.9962511622 1
0.1%
-0.9949910746 1
0.1%
-0.9949468745 1
0.1%
-0.9943369168 1
0.1%
-0.9940195287 1
0.1%
-0.9921180696 1
0.1%
-0.9908399041 1
0.1%
ValueCountFrequency (%)
0.9999671041 1
0.1%
0.9933397451 1
0.1%
0.992415479 1
0.1%
0.9907039597 1
0.1%
0.9903892873 1
0.1%
0.9881367338 1
0.1%
0.9853672555 1
0.1%
0.9828107515 1
0.1%
0.9824658252 1
0.1%
0.9810513596 1
0.1%

Label
Categorical

High correlation  Missing 

Distinct3
Distinct (%)7.5%
Missing1560
Missing (%)97.5%
Memory size87.5 KiB
3.0
20 
2.0
10 
1.0
10 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters120
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 20
 
1.2%
2.0 10
 
0.6%
1.0 10
 
0.6%
(Missing) 1560
97.5%

Length

2024-11-19T11:23:34.791460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-11-19T11:23:34.843994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
3.0 20
50.0%
2.0 10
25.0%
1.0 10
25.0%

Most occurring characters

ValueCountFrequency (%)
. 40
33.3%
0 40
33.3%
3 20
16.7%
2 10
 
8.3%
1 10
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 120
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 40
33.3%
0 40
33.3%
3 20
16.7%
2 10
 
8.3%
1 10
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 120
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 40
33.3%
0 40
33.3%
3 20
16.7%
2 10
 
8.3%
1 10
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 120
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 40
33.3%
0 40
33.3%
3 20
16.7%
2 10
 
8.3%
1 10
 
8.3%

Interactions

2024-11-19T11:23:30.727089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:10.473101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.561565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.668495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.684137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.755491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.830006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.914085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.890383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.885548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.007819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.985704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.966078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:23.008439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.266661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.366264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.368248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.351433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.716597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.727548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.776722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:10.529966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.610532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.719483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.732933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.804343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.879512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.962546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.939524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.934816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.056045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.037401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.014434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:23.056944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.317316image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.415385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.417168image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.409484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.770430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.776390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.825291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:10.660199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.660141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.769968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.781171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.853025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.928192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.012542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.987747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.985076image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.105194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.086604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.062352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:23.105494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.373897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.463243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.465378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.460276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.820314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.825193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.874481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:10.709311image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.710096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.820141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.830376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.904729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.978227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.061810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.037715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.035742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.154382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.135357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.112550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:23.231310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.424841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.513268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.514567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.511215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.873267image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.874194image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.923861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:10.758854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.758643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.870429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.878038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.953376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.027438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.110265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.086606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.086116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.204223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.183955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.160862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:23.296370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.476754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.574469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.563725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.559623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.922054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.924536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.975627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:10.812566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.807443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.924794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.928811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.001093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.075364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.159404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.135277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.135961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.252402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.232280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.209579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:23.347974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.526756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2024-11-19T11:23:25.081646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.120461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.106084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.205356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.481722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.477544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:31.532642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.364324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.464395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.485733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.559709image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.626797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.612427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.693551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.684043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.685765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.790110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.768022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.813652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.063289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.145270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.170215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.155646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.255801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.530833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.527461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:31.582279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.414995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.514537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.535744image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.608116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.679974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.661915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.744488image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.732774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.860694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.838743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.819242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.862697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.114028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.203342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.219234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.205082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.305078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.580482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.576918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:31.632508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.464515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.564439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.585695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.657358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.729990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.815977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.793549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.782798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.909952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.887833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.867938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.910788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.165142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.260240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.267466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.253590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.354832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.629327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.626992image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:31.682827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:11.512949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:12.614959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:13.634920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:14.707222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:15.779967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:16.865207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:17.842578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:18.833133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:19.958665image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:20.937239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:21.916969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:22.959404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:24.215420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:25.316374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:26.318768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:27.303059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:28.474027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:29.678517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-11-19T11:23:30.678357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-11-19T11:23:34.895522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
LabelSensor 0Sensor 1Sensor 10Sensor 11Sensor 12Sensor 13Sensor 14Sensor 15Sensor 16Sensor 17Sensor 18Sensor 19Sensor 2Sensor 3Sensor 4Sensor 5Sensor 6Sensor 7Sensor 8Sensor 9
Label1.0000.2560.2870.0000.0000.0000.3560.0000.1950.0000.0000.2690.0000.3610.2170.0000.0000.0000.0000.1330.525
Sensor 00.2561.0000.024-0.033-0.071-0.0080.014-0.0040.0300.008-0.0450.0120.001-0.018-0.0090.051-0.012-0.024-0.0080.021-0.045
Sensor 10.2870.0241.000-0.0270.0130.041-0.027-0.0300.006-0.057-0.008-0.004-0.042-0.044-0.0040.0210.003-0.0250.021-0.026-0.024
Sensor 100.000-0.033-0.0271.0000.0040.0210.012-0.0060.0060.0380.0050.025-0.031-0.0060.0240.0060.0020.0250.0260.0390.016
Sensor 110.000-0.0710.0130.0041.0000.008-0.036-0.010-0.004-0.018-0.0040.0200.0250.0320.019-0.011-0.0060.005-0.0370.018-0.002
Sensor 120.000-0.0080.0410.0210.0081.000-0.0430.028-0.0100.020-0.0120.0280.031-0.0340.003-0.046-0.0580.012-0.0080.001-0.020
Sensor 130.3560.014-0.0270.012-0.036-0.0431.000-0.0240.008-0.003-0.023-0.002-0.010-0.005-0.005-0.0040.0390.044-0.0240.011-0.033
Sensor 140.000-0.004-0.030-0.006-0.0100.028-0.0241.000-0.0150.009-0.007-0.020-0.0070.0100.011-0.0400.020-0.004-0.0050.025-0.024
Sensor 150.1950.0300.0060.006-0.004-0.0100.008-0.0151.0000.053-0.031-0.003-0.002-0.025-0.0390.025-0.031-0.0190.0130.023-0.008
Sensor 160.0000.008-0.0570.038-0.0180.020-0.0030.0090.0531.000-0.007-0.0300.0570.043-0.0200.062-0.0140.0170.0210.0150.026
Sensor 170.000-0.045-0.0080.005-0.004-0.012-0.023-0.007-0.031-0.0071.0000.0110.0430.0340.008-0.0230.014-0.0060.0120.0520.014
Sensor 180.2690.012-0.0040.0250.0200.028-0.002-0.020-0.003-0.0300.0111.000-0.0020.004-0.0220.029-0.0020.0230.0390.036-0.047
Sensor 190.0000.001-0.042-0.0310.0250.031-0.010-0.007-0.0020.0570.043-0.0021.0000.0140.0310.000-0.0080.041-0.006-0.0010.055
Sensor 20.361-0.018-0.044-0.0060.032-0.034-0.0050.010-0.0250.0430.0340.0040.0141.000-0.007-0.0150.0300.013-0.0250.034-0.015
Sensor 30.217-0.009-0.0040.0240.0190.003-0.0050.011-0.039-0.0200.008-0.0220.031-0.0071.0000.034-0.0290.000-0.042-0.0180.005
Sensor 40.0000.0510.0210.006-0.011-0.046-0.004-0.0400.0250.062-0.0230.0290.000-0.0150.0341.0000.020-0.0180.0240.011-0.027
Sensor 50.000-0.0120.0030.002-0.006-0.0580.0390.020-0.031-0.0140.014-0.002-0.0080.030-0.0290.0201.0000.0370.024-0.009-0.010
Sensor 60.000-0.024-0.0250.0250.0050.0120.044-0.004-0.0190.017-0.0060.0230.0410.0130.000-0.0180.0371.000-0.0290.059-0.019
Sensor 70.000-0.0080.0210.026-0.037-0.008-0.024-0.0050.0130.0210.0120.039-0.006-0.025-0.0420.0240.024-0.0291.000-0.0120.008
Sensor 80.1330.021-0.0260.0390.0180.0010.0110.0250.0230.0150.0520.036-0.0010.034-0.0180.011-0.0090.059-0.0121.0000.023
Sensor 90.525-0.045-0.0240.016-0.002-0.020-0.033-0.024-0.0080.0260.014-0.0470.055-0.0150.005-0.027-0.010-0.0190.0080.0231.000

Missing values

2024-11-19T11:23:31.760370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-19T11:23:31.883976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Sensor 0Sensor 1Sensor 2Sensor 3Sensor 4Sensor 5Sensor 6Sensor 7Sensor 8Sensor 9Sensor 10Sensor 11Sensor 12Sensor 13Sensor 14Sensor 15Sensor 16Sensor 17Sensor 18Sensor 19Label
0-0.545785-0.6399640.3231720.8700560.589634-0.6545160.758626-0.944226-0.361981-0.738958-0.0820450.367026-0.684776-0.442127-0.797051-0.8499370.1096510.2754280.724551-0.957438NaN
10.291232-0.188508-0.266294-0.9311730.990036-0.782436-0.3562530.7778900.8646390.510940-0.140018-0.144257-0.403463-0.029867-0.8766240.9765210.983823-0.0959410.9873110.245192NaN
20.6805800.4234100.734204-0.0230140.639396-0.495548-0.373933-0.842535-0.228202-0.330048-0.297976-0.6752100.634603-0.317718-0.362630-0.6582350.290307-0.560638-0.477552-0.206955NaN
30.0555380.1168930.4211560.154056-0.107440-0.618401-0.9155260.967082-0.2051360.5918440.476501-0.373325-0.3065370.161707-0.757658-0.838197-0.6583640.2106580.2049890.663093NaN
40.5217010.0663500.2858180.0836200.1661190.3874460.205991-0.266857-0.2886210.542669-0.124397-0.1766940.7278220.274874-0.412379-0.6575800.7267560.2834990.579462-0.524631NaN
5-0.164166-0.205362-0.4072330.1066990.199283-0.0072050.113667-0.2215330.477140-0.2573610.0423510.6156630.3670660.688594-0.1971020.9810380.508310-0.927829-0.2163700.469032NaN
60.3248840.623351-0.4179630.072552-0.4104070.424579-0.502148-0.385208-0.382412-0.807412-0.193537-0.338940-0.863982-0.3541120.819736-0.797305-0.877232-0.1659950.5951570.6043822.0
70.631120-0.3781140.423218-0.190906-0.164916-0.2614500.455701-0.8448570.989048-0.3844400.5795010.317040-0.9950820.287654-0.684942-0.3289350.639201-0.630470-0.585236-0.528572NaN
8-0.433425-0.3584100.438508-0.351255-0.432841-0.307391-0.747505-0.134397-0.906559-0.3928740.369751-0.5332630.429064-0.050292-0.4074250.175577-0.994896-0.415461-0.728290-0.943821NaN
9-0.3999860.600681-0.1587220.6514940.5049320.852379-0.1762320.7121090.9263170.7464700.574845-0.821405-0.575020-0.248861-0.6620120.8739980.5006000.2741400.5302740.233588NaN
Sensor 0Sensor 1Sensor 2Sensor 3Sensor 4Sensor 5Sensor 6Sensor 7Sensor 8Sensor 9Sensor 10Sensor 11Sensor 12Sensor 13Sensor 14Sensor 15Sensor 16Sensor 17Sensor 18Sensor 19Label
1590-0.221268-0.4855420.105938-0.110071-0.0283490.914073-0.3469780.803965-0.0018940.7183280.233523-0.0062920.467674-0.211576-0.034191-0.8930710.698993-0.160767-0.2313200.967184NaN
15910.333008-0.5696170.104343-0.4417300.139561-0.8843200.552272-0.360287-0.1092720.485959-0.295210-0.2651940.864572-0.184849-0.856519-0.874463-0.307564-0.618428-0.0248470.319381NaN
15920.2823640.0929320.4600040.858155-0.5583820.7439520.8640960.291949-0.0377720.058183-0.5803540.294693-0.1877790.654520-0.7927070.391777-0.522766-0.1301390.526813-0.898243NaN
1593-0.116609-0.933776-0.3995720.4797880.5159450.795756-0.867313-0.967397-0.880037-0.9903560.1499490.594313-0.369829-0.2130200.244965-0.8087640.003303-0.735646-0.1394730.334840NaN
15940.8234460.7159410.397253-0.0103910.8911670.955429-0.838836-0.002882-0.5289820.4533400.0733050.341995-0.146681-0.197679-0.530392-0.0455630.786200-0.770864-0.5249270.228734NaN
1595-0.857514-0.9017460.6821120.6692160.3891740.3531690.209446-0.6223300.9174400.441477-0.3173670.899953-0.2767290.417999-0.921676-0.2088280.3546550.834750-0.3874060.743095NaN
1596-0.6446200.120782-0.428661-0.8973510.605797-0.722718-0.1801900.626390-0.5402100.435336-0.563034-0.4211290.977297-0.675462-0.8545920.4511100.5837480.5759760.1026840.880652NaN
15970.1047310.371608-0.3963670.535360-0.787202-0.072538-0.5700760.4793550.692626-0.1131770.8239540.9369890.347102-0.6949050.6463080.7265380.649007-0.4425540.1502620.0680943.0
15980.7369730.8400150.0877870.377609-0.017149-0.679871-0.8156060.943190-0.736687-0.4654920.7749770.0688200.092866-0.7951690.8803280.513578-0.085567-0.4111210.773536-0.336862NaN
1599-0.384131-0.1694800.2371830.1815520.822651-0.617571-0.646296-0.2596590.863483-0.6312980.9752270.504755-0.4715690.2489880.663714-0.0428220.9882060.0414320.402895-0.753929NaN